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Valencia Products makes automobile radar detectors and assembles two models: LaserStop and SpeedBuster. Both models use the same electronic components. After reviewing the components required and the profit for each model, the firm found the following linear optimization model for profit, where Lis the number of LaserStop models produced and S is the number of SpeedBuster models produced. Implement the linear optimization model on a spreadsheet and use Solver to find an optimal solution. Interpret the optimal solution, identify the binding constraints, and verify the values of the slack variables. Maximize Profit = 122 L+134 S (Availability of component A) 19L+12 Ss4000 6L+8SS3500 (Availability of component B) L20 and S20 Implement the linear optimization model and find an optimal solution. Interpret the optimal solution. The optimal solution is to produce 0 LaserStop models and 363 SpeedBuster models. This solution gives the maximum possible profit, which is $ 5047 (Type integers or decimals rounded to two decimal places as needed) Component A is not a binding constraint and it has 7 slack Component B is not a binding constraint and it has 31733 slack (Type integers or decimals rounded to two decimal places as needed.)

Valencia Products makes automobile radar detectors and assembles two models: LaserStop and SpeedBuster. Both models use the same electronic components. After reviewing the components required and the profit for each model, the firm found the following linear optimization model for profit, where Lis the number of LaserStop models produced and S is the number of SpeedBuster models produced. Implement the linear optimization model on a spreadsheet and use Solver to find an optimal solution. Interpret the optimal solution, identify the binding constraints, and verify the values of the slack variables. Maximize Profit = 122 L+134 S (Availability of component A) 19L+12 Ss4000 6L+8SS3500 (Availability of component B) L20 and S20 Implement the linear optimization model and find an optimal solution. Interpret the optimal solution. The optimal solution is to produce 0 LaserStop models and 363 SpeedBuster models. This solution gives the maximum possible profit, which is $ 5047 (Type integers or decimals rounded to two decimal places as needed) Component A is not a binding constraint and it has 7 slack Component B is not a binding constraint and it has 31733 slack (Type integers or decimals rounded to two decimal places as needed.)

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter11: Simulation Models
Section11.4: Marketing Models
Problem 30P: Seas Beginning sells clothing by mail order. An important question is when to strike a customer from...
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Valencia Products makes automobile radar detectors and assembles two models: LaserStop and SpeedBuster. Both models use the same electronic components. After reviewing the components required and the profit for each model, the firm found the following linear optimization model for profit, where Lis the number of LaserStop models produced and S is the number of SpeedBuster models produced. Implement the linear optimization model on a spreadsheet and use Solver to find an optimal solution. Interpret the optimal solution, identify the binding constraints, and verify the values of the slack variables. Maximize Profit = 122 L+134 S 19 L+12 SS4000 6 L+8SS3500 L20 and S20 (Availability of component A) (Availability of component B) Implement the linear optimization model and find an optimal solution. Interpret the optimal solution. The optimal solution is to produce 0 LaserStop models and 363 SpeedBuster models. This solution gives the maximum possible profit, which is $5047. (Type integers or decimals rounded to two decimal places as needed.) Component A is not a binding constraint and it has 7 slack. Component B is not a binding constraint and it has 31733 slack. (Type integers or decimals rounded to two decimal places as needed.)
Transcribed Image Text:Valencia Products makes automobile radar detectors and assembles two models: LaserStop and SpeedBuster. Both models use the same electronic components. After reviewing the components required and the profit for each model, the firm found the following linear optimization model for profit, where Lis the number of LaserStop models produced and S is the number of SpeedBuster models produced. Implement the linear optimization model on a spreadsheet and use Solver to find an optimal solution. Interpret the optimal solution, identify the binding constraints, and verify the values of the slack variables. Maximize Profit = 122 L+134 S 19 L+12 SS4000 6 L+8SS3500 L20 and S20 (Availability of component A) (Availability of component B) Implement the linear optimization model and find an optimal solution. Interpret the optimal solution. The optimal solution is to produce 0 LaserStop models and 363 SpeedBuster models. This solution gives the maximum possible profit, which is $5047. (Type integers or decimals rounded to two decimal places as needed.) Component A is not a binding constraint and it has 7 slack. Component B is not a binding constraint and it has 31733 slack. (Type integers or decimals rounded to two decimal places as needed.)
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